Senior ML Engineer
Expires: October 12, 2025
Join Burt Intelligence as a Senior Machine Learning Engineer to develop and enhance forecasting services within a small, efficient tech team. Work with large datasets, international customers, and advanced technologies to deliver impactful advertising business insights.
Main requirements:
- Proven software engineer with 3+ years of production backend or machine learning development experience
- At least 1 year of experience with Python
- Practical knowledge in machine learning and statistics including GBDT, scikit-learn, feature engineering, validation, and tuning
- Strong understanding of algorithms and data structures with reasoning ability
- Ability to function independently as both data scientist and software engineer
- Customer-oriented product development mindset with conscientious challenge handling
- Proficient in English and Russian
Responsibilities:
- Design and implement large-scale features for forecasting services
- Maintain and enhance robust data pipelines processing data from multiple sources
- Build machine learning models to accurately predict advertising inventory
- Work with both NoSQL and SQL databases
- Use Docker, CI/CD, and Infrastructure as Code to ensure efficient and scalable deployments
- Collaborate in an agile environment with continuous improvement and user engagement
- Leverage big data technologies, transitioning from Spark to Clickhouse, and cloud platforms to ensure scalable and reliable service
Required hard skills:
- Python
- Machine learning with emphasis on GBDT and scikit-learn
- Feature engineering
- Data validation and tuning
- Algorithms and data structures
- Docker
- CI/CD pipelines
- Infrastructure as Code
- SQL and NoSQL databases
- Agile development methodologies
- Big data technologies
- Cloud platforms
Recommended hard skills:
- Experience with time series analysis
- Experience with Java, Scala, or Kotlin
- MLOps experience
Soft skills:
- Curiosity and continuous learning
- Ability to work independently and collaboratively
- Customer-oriented mindset
- Responsibility and conscientious approach to challenges
- Effective communication
Coding languages:
- Python
- Java
- Scala
- Kotlin
Frameworks:
- scikit-learn
Natural languages:
- English (Proficient)
- Russian (Proficient)
Cultural skills:
- Experience working in international teams
- Ability to work remotely and collaborate in hybrid environments
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